About the company
A partner company of jobgether is looking for a Manager, People Analytics & Data Science based in the United States.
Responsibilities
- Build and scale a trusted analytics capability that helps leaders make informed, data-driven workforce decisions
- Develop reliable data pipelines, standardized metrics, and intuitive dashboards
- Investigate critical workforce questions through statistical analysis, forecasting, and predictive modeling
- Establish strong data governance and responsible analytics practices
- Partner with data engineers to build and maintain reliable data pipelines and analytical datasets
- Develop reusable data models, transformations, validation checks, documentation, and monitoring
- Establish and maintain trusted metric definitions
- Lead end-to-end development of workforce analytics products
- Build operational and executive dashboards connecting people metrics to business outcomes
- Design intuitive self-service experiences
- Investigate priority workforce topics: attrition, critical-role readiness, workforce capacity, planning, manager effectiveness, performance, productivity, AI-enabled work
- Apply statistical analysis, experimentation, forecasting, segmentation, and predictive modeling
- Translate complex analytical findings into clear recommendations
- Establish repeatable research practices
- Develop and maintain an analytics roadmap
Requirements
- Bachelor's degree in data science, statistics, computer science, mathematics, engineering, economics, business analytics, or a related field
- At least 7 years of experience in data science, people analytics, analytics engineering, business intelligence, data engineering, or a related discipline
- Experience working with people analytics, HR data, workforce planning, talent management, compensation, performance, or organizational research
- Demonstrated ability to build data pipelines, analytical datasets, data models, or reusable analytics infrastructure
- Proven experience developing dashboards and self-service analytics products
- Experience applying statistical analysis, experimental design, forecasting, segmentation, or predictive modeling
- Strong hands-on proficiency in SQL and Python or R
- Knowledge of data modeling, semantic layers, business intelligence tools, cloud data platforms, version control, and documentation
- Solid understanding of statistics, causal reasoning, experimental design, predictive modeling, and model evaluation
Conditions
- Remote within the United States
- An in-person interview may be required during the hiring process